| 电液位置伺服系统神经PID控制及仿真研究 |
| |
| 引用本文： | 龚赤兵,吴海峰,曾良才. 电液位置伺服系统神经PID控制及仿真研究[J]. 机床与液压, 2005, 0(10): 146-148 |
| |
| 作者姓名： | 龚赤兵 吴海峰 曾良才 |
| |
| 作者单位： | 1. 广东水利电力职业技术学院计算机信息工程系,广州,510635
2. 武汉科技大学机械自动化学院,武汉,430081 |
| |
| 摘 要： | 以三阶系统和实际被控对象的辨识模型NNI为研究对象，提出了一种神经PID控制策略。利用神经PID控制器的自学习、自适应能力实现PID控制参数的自整定，利用BP网络的离线辨识，简化了电液位置伺服系统数学模型的建立婪堡，并在此基础上对论文提出的研究对象进行了仿真研究。实践证明，神经PID控制策略能较好地解决电液位置伺服系统存在的问题，是一种实用可行的控制策略。
|
| 关 键 词： | 神经PID BP网络 单神经元 仿真 电液位置伺服系统 |
| 文章编号： | 1001-3881(2005)10-146-3 |
| 收稿时间： | 2005-01-10 |
| 修稿时间： | 2005-01-10 |
Research on Neural - PID Control and Simulation of the Electro - hydraulic Position Servo System |
| |
| GONG Chi-bing,WU Hai-feng,ZENG Liang-cai. Research on Neural - PID Control and Simulation of the Electro - hydraulic Position Servo System[J]. Machine Tool & Hydraulics, 2005, 0(10): 146-148 |
| |
| Authors: | GONG Chi-bing WU Hai-feng ZENG Liang-cai |
| |
| Affiliation: | 1. Department of Computer Information Engineering, Guangdong Technical College of Water Resources and Electric Engineering, Guangzhou 510635, China; 2. Department of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China |
| |
| Abstract: | Neural-PID control tactic was put forward,which utilizes Neural-PID controller's self-learning and self-adaptive capacity to realize control parameter's self modulate,and utilizes BP network's off-line identification to reduce the process of system's mathematical model and carry through the simulation research.The results prove that Neural-PID can solve the problem of the electro-hydraulic position servo system and it is a practical and feasible control tactic. |
| |
| Keywords: | Neural- PID BP network Single neural Simulation Electro- hydraulic position servo system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
